#simple scenario:
#	1.	read data
#	2.	take only left breasts and cc images and cut the set to size of malignant cases
#	3.	train k-NN classifier
#	4.	perform a 10-fold evaluation
library(RWeka);
source("src/craftData.r");
source("src/readData.r");
featuresNorm = features + abs(min(features)) + 1
result=chisq.test(x = featuresNorm, y = info[, "class"]);